Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning

Shota Deguchi, Mitsuteru Asai

Physics-informed neural networks have attracted significant attention in scientific machine learning for their capability to solve forward and inverse problems governed by partial…